An Optimization Framework for Dynamically Reconfigurable Battery Systems

Multi-cell battery systems have been pervasively adopted as power supplies in industrial, commercial, and residential applications. Traditionally, battery systems consist of a large number of single cells interconnected by fixed topology to fulfill the requirements on voltage, current, capacity, and...

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Bibliographic Details
Published in:IEEE transactions on energy conversion 2018-12, Vol.33 (4), p.1669-1676
Main Authors: Lin, Ni, Ci, Song, Wu, Dalei, Guo, Haifeng
Format: Article
Language:English
Subjects:
Batteries
Battery cycles
behavior characterization
Design engineering
DRB
dynamic programming
Energy efficiency
Energy management
Impedance
Integrated circuit modeling
Management methods
Mathematical model
Optimization
performance optimization
Power efficiency
Power management
Power supplies
Product safety
Reconfiguration
Residential energy
Switching circuits
Systems design
theoretical framework
Topology
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Summary:Multi-cell battery systems have been pervasively adopted as power supplies in industrial, commercial, and residential applications. Traditionally, battery systems consist of a large number of single cells interconnected by fixed topology to fulfill the requirements on voltage, current, capacity, and power. However, various cell unbalances introduced in manufacture and operational processes make battery systems suffer several major system-level deficiencies, including low energy efficiency, safety, second-use, and reliability issues. Therefore, dynamically reconfigurable battery (DRB) systems have gained popularity in recent years to achieve a higher energy efficiency and to prolong cycle life of battery systems by overcoming the adverse effects caused by cell unbalances. Unfortunately, current research on DRB systems mainly focuses on topology design with traditional management methods, lacking a theoretical foundation to study the performance optimization. In this paper, we propose a theoretical framework to optimize the DRB system performance by holistically considering various system design trade-offs on dynamical reconfiguration of the cell topology. Extensive numerical and experimental studies indicate the effectiveness and efficiency of the proposed optimization framework. Furthermore, the proposed framework can characterize the DRB system behaviors in a quantitative fashion, which provides design insights for such systems. A real-world case study has been provided to gain in-depth understanding of the proposed DRB systems.
ISSN:0885-8969
1558-0059
DOI:10.1109/TEC.2018.2850853